title: [Influence of different treatment patterns on cost-effectiveness in treatment of acute myocardial infarction].
abstract: OBJECTIVE
  To investigate the influences of different treatment patterns on the cost-effectiveness in treating acute myocardial infarction (AMI).
  
  
  METHODS
  Data about referral of AMI patients who called for help because of chest pain to the nearby hospitals from October 2003 to December 2005 were collected from the Guangzhou 120 Call Center. All these patients were followed up 6 months after discharge to survey the cost during hospitalization, major treatment, prognosis (death, re-infarction, stroke etc. ), and secondary prevention for coronary heart disease. We used SF-36 scale was used to quantify the health status.
  
  
  RESULTS
  101 AMI patients referred to grade 2 A hospitals (Group A) and 137 patients referred to grade 3 A hospitals (Group B) were successfully followed up. The cost during hospitalization of Group B was (33965 +/- 963) yuan RMB, significantly higher than that of Group A (18943 +/- 893) yuan, P = 0.021). 11 patients of Group B died, and 5 patients suffered from stroke with the mortality and stroke rate both significantly lower than those of Group A (18/101 and 12/101, P = 0.022, P = 0.015). There was no significant difference in the re-infarction rate between the 2 groups. The scores in physical function, general health status, vitality, social function, role-emotional, mental health of Group B were all significantly higher than those of Group A (all P < 0.05) , however, there were not significant differences in body pain and role-physical between these 2 groups. The smoking cessation rate, specialist outpatient department follow-up rate, statins use rate of Group B were significantly higher than those of Group A (P = 0.017, P = 0.016, P = 0.038).
  
  
  CONCLUSIONS
  The 120-grade 3 A hospital CCU pattern is more cost-effective in treatment of AMI.
authors.affiliation: Department of Pathophysiology, Medical College of Jinan University, Guangzhou 510632, China.
authors.forename: Hong-ke
authors.initials: HK
authors.lastname: Zeng
authors.forename: Ming
authors.initials: M
authors.lastname: Fang
authors.forename: Heng
authors.initials: H
authors.lastname: Ye
authors.forename: Xin
authors.initials: X
authors.lastname: Lai
authors.forename: Chun-bo
authors.initials: CB
authors.lastname: Chen
authors.forename: Kai-ran
authors.initials: KR
authors.lastname: He
authors.forename: Wei-feng
authors.initials: WF
authors.lastname: Zhan
authors.forename: Guo-hua
authors.initials: GH
authors.lastname: Huang
authors.forename: Xiao-jun
authors.initials: XJ
authors.lastname: Lin
authors.forename: Da-xiang
authors.initials: DX
authors.lastname: Lu
mesh_terms: D000328:Adult; D000368:Aged; D003362:Cost-Benefit Analysis; D004632:Emergency Medical Services / Q000191:economics* / Q000379:methods; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000628:therapy*; D010818:Practice Patterns, Physicians' / Q000191:economics*; D011379:Prognosis